This study examined the net effects of individual and community factors on the likelihood of registered nurses leaving current jobs using a logit analysis. Based on data from a survey of 2,509 rural nurses, four separate models were estimated and compared: one for nurses in rural settings as a whole and the other three for nurses in hospitals, skilled nursing facilities, and community/public health agencies. Results of the general model indicated that nurses' marital status, age, position, income, job satisfaction, and satisfaction with the community were significant determinants of the likelihood of leaving current jobs. Job satisfaction was the most significant factor, followed by satisfaction with the community. Findings from the models for three different employment settings were similar to those of the general model. However, the significance of factors and their strength of effect on nurses' decisions to leave or stay in their current jobs differed across the three types of facilities. Based on these findings rural nursing administrators and policy-makers should give priority to retention strategies that focus on improving the job environment. The development of different strategies for different groups of nurses (i.e., by age or marital status) and different types of facilities should increase the benefit/cost ratio. In addition, programs that involve rural health care agencies in community and economic development should be further explored as an avenue to increased nurse retention in rural areas.

This study analyzes the impacts of several variables, including a restrictive practice environment, on a nurse practitioner's level of autonomy with respect to prescribing selected categories of medicines. A general linear model is applied to data from the 1992 national sample of nurse practitioners. Results show that among the significant independent variables, a restrictive environment of imposed state laws and regulations reduces nurse practitioners' level of autonomy in prescribing medications and acts as a barrier to their practicing to full potential. Results and policy implications are discussed.

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This study uses data from a national sample of registered nurses to compare earnings of nurses in rural and nonrural practice. The comparisons, conditioned by the nurses' education level, are analogous to the concept of "returns to human capital investment" used in labor economics. A general linear model is applied within a framework of labor economics analysis. Results show that nurses with more education receive less for their investment if they practice in rural areas. Work experience and employment setting are also related to lower annualized earnings for rural practice. One exception to the otherwise consistent findings is that returns to advanced practice nursing are higher in rural areas. Results and policy implications are discussed.